语音样本识别语音障碍

TENCON 2003. Conference on Convergent Technologies for Asia-Pacific Region Pub Date : 2003-10-15 DOI:10.1109/TENCON.2003.1273387

Jagadish Nayak, P. S. Bhat

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引用次数: 24

摘要

本文尝试用小波分析来鉴别喉部的病理病变。言语样本在其来源的地方带有紊乱的症状。对语音信号进行小波分析，利用小波系数识别声带麻痹等疾病。采用多层人工神经网络对正常信号和受影响信号进行分类。

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Identification of voice disorders using speech samples

This paper attempts to identify pathological disorders of larynx using wavelet analysis. Speech samples carry symptoms of disorder in the place of their origin. The speech signal is subjected to wavelet analysis, and the coefficients are used to identify disorders such as vocal fold paralysis. Multilayer artificial neural network is used for classification of normal and affected signals.

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TENCON 2003. Conference on Convergent Technologies for Asia-Pacific Region

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